Discover common developer experiences with AI coding assistants and learn key strategies to significantly improve the acceptance rate of code suggestions. Master the art of prompting and iterative refinement to get production-ready code faster.
A guide for developers on adopting AI coding assistants, covering top tools like Cursor and Claude, effective workflows like maintaining a context file, and best practices to avoid common pitfalls.
Developers share their real-world experiences as companies push for AI adoption. Explore the spectrum of policies from forced use to outright bans, and learn where AI tools actually help versus where they hinder productivity.
Discover how developers are crafting their ultimate AI-assisted coding setups, blending IDEs like Cursor and VSCode with multiple LLMs, and refining workflows for enhanced productivity.
Developers discuss the pros and cons of AI-powered IDEs versus copy-pasting code into chat apps like ChatGPT, focusing on context management, cost, and workflow integration.